Legal claims defining the scope of protection, as filed with the USPTO.
1. A system comprising: a text mining tool to process text in an electronic document to identify a topical expression and a polar expression in the electronic document; a text classifier to determine a topic of the topical expression and a polarity of the polar expression, to identify a relevance of the polar expression to the topical expression, and to generate a confidence score associated with the relevance of the polar expression to the topical expression; and a user interface to display the topical expression with the polar expression and the confidence score to a user.
2. The system of claim 1 , wherein the user interface is to display an aggregated plurality of topical expressions and corresponding polar expressions identified within the electronic document.
3. The system of claim 1 , wherein the user interface is to display an aggregated plurality of topical expression and corresponding polar expressions identified from a plurality of electronic documents.
4. The system of claim 1 , wherein the text mining tool is to perform a natural language processing analysis of the electronic document to identify a topical expression and a polar expression, and the text classifier is to perform a natural language processing analysis of the topical expression and the polar expression to identify a relevance of the polar expression to the topical expression and to generate a confidence score associated with the relevance of the polar expression to the topical expression.
5. The system of claim 1 , wherein the text classifier comprises a statistical machine learning classifier.
6. The system of claim 5 , wherein the statistical machine learning classifier is to execute a Winnow analysis with respect to the electronic document.
7. The system of claim 1 , wherein the text classifier comprises a rules-based classifier and is to analyze the polar expression using a shallow natural language processing technique.
8. A method comprising: processing text in electronic content to identify a topical expression and a polar expression in the electronic content; determining a topic of the topical expression and a polarity of the polar expression; identifying a relevance of the polar expression to the topical expression; generating a confidence score associated with the relevance of the polar expression to the topical expression; and displaying the topical expression with the polar expression and the confidence score to a user.
9. The method of claim 8 , further comprising displaying an aggregated plurality of topical expressions and corresponding polar expressions identified within the electronic content.
10. The method of claim 8 , further comprising displaying an aggregated plurality of topical expression and corresponding polar expressions identified from a plurality of electronic content.
11. The method of claim 8 , wherein processing text further comprises performing a natural language processing analysis of the electronic content to identify the topical expression and the polar expression, and wherein identifying further comprises performing a natural language processing analysis of the topical expression and the polar expression to identify a relevance of the polar expression to the topical expression.
12. The method of claim 8 , wherein identifying further comprises applying a statistical machine learning classification to identify a relevance of the polar expression to the topical expression.
13. The method of claim 8 , wherein the identifying further comprises applying a rules-based classification with a shallow natural language processing technique to analyze the polar expression.
14. A tangible computer readable storage medium including executable program instructions which, when executed by a computer processor, cause the computer to implement a system comprising: a text mining tool to process text in an electronic document to identify a topical expression and a polar expression in the electronic document; a text classifier to determine a topic of the topical expression and a polarity of the polar expression, to identify a relevance of the polar expression to the topical expression; and a user interface to display the topical expression with the polar expression to a user.
15. The computer readable storage medium of claim 14 , wherein the text classifier is to generate a confidence score associated with the relevance of the polar expression to the topical expression.
16. The computer readable storage medium of claim 14 , wherein the user interface is to display an aggregated plurality of topical expression and corresponding polar expressions identified from a plurality of electronic documents.
17. The computer readable storage medium of claim 14 , wherein the text mining tool is to perform a natural language processing analysis of the electronic document to identify a topical expression and a polar expression and the text classifier is to perform a natural language processing analysis of the topical expression and the polar expression to identify a relevance of the polar expression to the topical expression, and to generate a confidence score associated with the relevance of the polar expression to the topical expression.
18. The computer readable storage medium of claim 14 , wherein the text classifier comprises a rules-based classifier to apply a statistical generator model to analyze the polar expression in relation to the topical expression.
Unknown
October 18, 2011
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